CN108103999A - Car arrester control system based on more mesh data acquisitions - Google Patents
Car arrester control system based on more mesh data acquisitions Download PDFInfo
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- CN108103999A CN108103999A CN201711366079.XA CN201711366079A CN108103999A CN 108103999 A CN108103999 A CN 108103999A CN 201711366079 A CN201711366079 A CN 201711366079A CN 108103999 A CN108103999 A CN 108103999A
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- 239000004568 cement Substances 0.000 claims abstract description 31
- 238000000034 method Methods 0.000 claims abstract description 16
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- 238000003384 imaging method Methods 0.000 claims description 52
- 238000001914 filtration Methods 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 4
- 230000003319 supportive effect Effects 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000000007 visual effect Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
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Classifications
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01F—ADDITIONAL WORK, SUCH AS EQUIPPING ROADS OR THE CONSTRUCTION OF PLATFORMS, HELICOPTER LANDING STAGES, SIGNS, SNOW FENCES, OR THE LIKE
- E01F13/00—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions
- E01F13/04—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions movable to allow or prevent passage
- E01F13/08—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions movable to allow or prevent passage by swinging into closed position about a transverse axis situated in the road surface, e.g. tiltable sections of the road surface, tiltable parking posts
- E01F13/085—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions movable to allow or prevent passage by swinging into closed position about a transverse axis situated in the road surface, e.g. tiltable sections of the road surface, tiltable parking posts specially adapted for individual parking spaces
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/45—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from two or more image sensors being of different type or operating in different modes, e.g. with a CMOS sensor for moving images in combination with a charge-coupled device [CCD] for still images
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- Image Processing (AREA)
- Traffic Control Systems (AREA)
Abstract
The present invention relates to a kind of car arrester control systems based on more mesh data acquisitions, including erecting framework and pedestal framework, the standing framework includes supporting rack, inverted U upright bar and swingle, swingle is connected with inverted U upright bar, for inverted U upright bar to be controlled to be in erected state or state of couching, supporting rack is used at inverted U upright bar rear, it plays a supportive role to inverted U upright bar, inverted U upright bar is in the handoff procedure by erected state to state of couching, ground face forward is faced to fall down to be bonded ground, vehicle is facilitated to pass through, the pedestal framework includes left side cement groove body, right side cement groove body and chassis.By means of the invention it is possible to the controlled level of car arrester is improved based on high-precision image data.
Description
The present invention be Application No. 2017108312503, the applying date be September in 2017 15 days, it is entitled " based on more
The divisional application of the patent of the car arrester control system and method for mesh data acquisition ".
Technical field
The present invention relates to airdrome control field more particularly to a kind of car arrester control systems based on more mesh data acquisitions.
Background technology
For car arrester there are two types of way of realization, one kind is referred to as car lug or stabilizing device is also referred to as tire burster, pricks tire device, is pin
The new product that hilllock escape phenomenon is rushed to toll station vehicular traffic and is developed.This car arrester is generally using automatic and hand
Dynamic double control has the function of two kinds of the tire that slows down and prick, and is control vehicle deceleration, and pre- anti-vehicle cruelty rushes hilllock, ensures road pipe people
Member's personal safety and the essential special facilities of property safety.
Another car arrester is used for vehicle parking, to parked vehicle or vehicle driver are carried out authentication verification, only
Have through verification, just allow corresponding vehicle parking to corresponding position.However, this current function of car arrester is relatively simple, structure
Design is not superior enough, can not meet existing demand, for example, the parking position parked to only running customization vehicle, can not realize phase
The authority checking mechanism answered.
The content of the invention
To solve the above-mentioned problems, the present invention provides a kind of car arrester control systems based on more mesh data acquisitions.
The present invention at least has following three important inventive points：
(1) real-time update is carried out to target gray threshold range with history multiple wide field-of-view images, so as to ensure that target
Subgraph ensures the accuracy of succeeding target type identification from the separating effect at wide field-of-view image；
(2) imaging unit of more mesh cameras is subjected to complicated structure, with the figure of the wide field-of-view image after duplicate removal is improved
While image quality amount, ensure the width in the visual field of image；
(3) by redesigning the inside structure of car arrester, increase multiple ancillary equipments, improve the Automated water of car arrester
It is flat.
According to an aspect of the present invention, a kind of car arrester control system based on more mesh data acquisitions, the system are provided
System includes erecting framework and pedestal framework, and the standing framework includes supporting rack, inverted U upright bar and swingle, swingle and U
Type upright bar connects, and for inverted U upright bar to be controlled to be in erected state or state of couching, supporting rack is used at inverted U upright bar rear,
Play a supportive role to inverted U upright bar, inverted U upright bar in the handoff procedure by erected state to state of couching, face ground to
Front falls down to be bonded ground, facilitates vehicle by the way that the pedestal framework includes left side cement groove body, right side cement groove body and bottom
Frame, left side cement groove body and right side cement groove body are all disposed in chassis, in laid inside cement to be reinforced, left side
The left side limbers of covering woven wire is provided on cement groove body, the right side of covering woven wire is provided on the cement groove body of right side
Side limbers.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is that the structure of the car arrester control system based on more mesh data acquisitions according to embodiment of the present invention is shown
It is intended to.
Fig. 2 is the pony sill of the car arrester control system based on more mesh data acquisitions according to embodiment of the present invention
It is used to be embedded in the structure diagram of the embedded structure on ground in the chassis inside of structure.
Fig. 3 is that more mesh of the car arrester control system based on more mesh data acquisitions according to embodiment of the present invention are taken the photograph
As the block diagram of head.
Reference numeral：1 erects framework；11 supporting racks；12 inverted U upright bars；13 swingles；2 pedestal frameworks；21 left side cement
Groove body；22 right side cement groove bodies；211 left sides limbers；221 right sides limbers；121 camera mounting holes；122 stereo raise one's voice
Device；123LED display devices；124GPS positioning devices；
Specific embodiment
Below with reference to accompanying drawings to the present invention the car arrester control method based on more mesh data acquisitions embodiment into
Row is described in detail.
In order to overcome above-mentioned deficiency, the present invention has built a kind of car arrester control system based on more mesh data acquisitions.
Fig. 1 is that the structure of the car arrester control system based on more mesh data acquisitions according to embodiment of the present invention is shown
It is intended to, the system comprises：
Erect framework and pedestal framework, the standing framework includes supporting rack, inverted U upright bar and swingle, swingle with
Inverted U upright bar connects, and for inverted U upright bar to be controlled to be in erected state or state of couching, supporting rack is used for after inverted U upright bar
Side, plays a supportive role to inverted U upright bar, inverted U upright bar faces ground in the handoff procedure by erected state to state of couching
Fall down to be bonded ground forwards, facilitate vehicle by, the pedestal framework include left side cement groove body, right side cement groove body and
Chassis, left side cement groove body and right side cement groove body are all disposed in chassis, in laid inside cement to be reinforced, it is left
The left side limbers of covering woven wire is provided on the cement groove body of side, covering woven wire is provided on the cement groove body of right side
Right side limbers.
Wherein, as shown in Fig. 2, further including to be embedded in the embedded structure on ground in chassis inside.
Then, continue to the present invention the car arrester control system based on more mesh data acquisitions concrete structure into advance one
The explanation of step.
It can also include in the car arrester control system based on more mesh data acquisitions：
As shown in figure 3, more mesh cameras, are installed in camera mounting hole, including multiple imaging units, each into
As unit is for the scene progress real time imagery operation in its areas imaging, each imaging unit to include Analysis signal-to-noise ratio (SNR)
Device, quality comparator and N number of imaging sensor, Analysis signal-to-noise ratio (SNR) device are connected respectively with N number of imaging sensor, for N number of figure
As the image progress Analysis signal-to-noise ratio (SNR) of sensor, quality comparator is connected with Analysis signal-to-noise ratio (SNR) device, for receiving N number of image
The signal-to-noise ratio of the image of sensor, and select output figure of the highest image of signal-to-noise ratio as corresponding imaging unit
Picture；
Region merging technique equipment is connected with more mesh cameras, for receiving multiple output images of multiple imaging units, and is examined
It surveys between multiple output images with the presence or absence of overlapping, and when there is overlapping, multiple output images is carried out by Duplicate Removal Algorithm
Merge to obtain the wide field-of-view image after duplicate removal；
Wherein, data linkage is also carried out between N number of imaging sensor, to ensure the multiple defeated of N number of imaging sensor output
Average brightness be consistent and the ensure dynamic range of multiple output images of N number of imaging sensor output for going out image is consistent；
Wherein, positions of the quantity for the imaging sensor that each imaging unit the includes i.e. N based on imaging unit, which is preset, sets
Fixed, imaging unit is closer to the middle position of more mesh cameras, and the numerical value of corresponding N is bigger, and imaging unit more deviates more mesh
The middle position of camera, the numerical value of corresponding N are smaller.
It can also include in the car arrester control system based on more mesh data acquisitions：
Threshold value more new equipment for receiving each wide field-of-view image using the time as order, often receives once the wide visual field
Image, using the recently received predetermined customization vehicle gray threshold scope of wide field-of-view image update, wherein, customization
The initial range of vehicle gray threshold scope is pre-stored in the internal memory of threshold value more new equipment；
Content analysis apparatus for receiving newest wide field-of-view image, and analyzes the complexity of newest wide field-of-view image,
To select corresponding filtering algorithm based on the complexity of newest wide field-of-view image；
Filter processing apparatus is connected with Content analysis apparatus, for receiving newest wide field-of-view image and receiving selection
Filtering algorithm, and the filtering algorithm of selection is performed to newest wide field-of-view image, to obtain corresponding filtering image；
Vehicle contours extract equipment is connected with threshold value more new equipment, for each picture to newest wide field-of-view image
The pixel value of element determines whether to fall in the range of customization vehicle gray threshold in the updated, if falling customization vehicle in the updated
Within the scope of gray threshold, then the pixel is determined as customizing vehicle pixel, if falling customization vehicle gray scale threshold in the updated
It is worth outside scope, then the pixel is determined as non-customized vehicle pixel, by all customization vehicle pictures of newest wide field-of-view image
Element composition customization vehicle subgraph；
Drive control apparatus is connected with vehicle contours extract equipment, and vehicle subgraph is customized for receiving, and based on customization
Vehicle subgraph determines the validity of customization vehicle subgraph in the area ratio of newest wide field-of-view image, when definite customized vehicle
When type subgraph is effective, control inverted U upright bar is switched to state of couching by erected state.
In the car arrester control system based on more mesh data acquisitions：
Camera mounting hole, boombox, LED display device, GPS positioning device are additionally provided in inverted U upright bar.
In the car arrester control system based on more mesh data acquisitions：
Drive control apparatus determines customized vehicle based on customization vehicle subgraph in the area ratio of newest wide field-of-view image
The validity of type subgraph includes：It is preset when customization vehicle subgraph is more than or equal in the area ratio of newest wide field-of-view image
During proportion threshold value, determine that customization vehicle subgraph is effective, otherwise, it determines customization vehicle subgraph is invalid.
Meanwhile the car arrester control method according to embodiments of the present invention based on more mesh data acquisitions includes：
Using framework and the pedestal framework construction controlled main body of car arrester is erected, the standing framework includes supporting rack, inverted U
Upright bar and swingle, swingle are connected with inverted U upright bar, for inverted U upright bar to be controlled to be in erected state or state of couching, branch
Support is used to, at inverted U upright bar rear, play a supportive role to inverted U upright bar, inverted U upright bar is by erected state to state of couching
Handoff procedure in, face ground face forward and fall down to be bonded ground, vehicle is facilitated to include left side water by, the pedestal framework
Mud groove body, right side cement groove body and chassis, left side cement groove body and right side cement groove body are all disposed in chassis, in inside
Cement is laid with to be reinforced, the left side limbers of covering woven wire, right side cement groove body are provided on the cement groove body of left side
On be provided with covering woven wire right side limbers.
Then, continue to the present invention the car arrester control method based on more mesh data acquisitions specific steps into advance one
The explanation of step.
The car arrester control method based on more mesh data acquisitions can also include：
It using more mesh cameras, is installed in camera mounting hole, including multiple imaging units, each imaging unit
For carrying out real time imagery operation to the scene in its areas imaging, each imaging unit includes Analysis signal-to-noise ratio (SNR) device, quality
Comparator and N number of imaging sensor, Analysis signal-to-noise ratio (SNR) device are connected respectively with N number of imaging sensor, for N number of imaging sensor
Image carry out Analysis signal-to-noise ratio (SNR), quality comparator is connected with Analysis signal-to-noise ratio (SNR) device, for receiving N number of imaging sensor
The signal-to-noise ratio of image, and select output image of the highest image of signal-to-noise ratio as corresponding imaging unit；
Using area merges equipment, is connected with more mesh cameras, for receiving multiple output images of multiple imaging units,
And detect it is multiple output images between with the presence or absence of overlapping, and exist be overlapped when, by Duplicate Removal Algorithm to multiple output images
It merges to obtain the wide field-of-view image after duplicate removal；
Wherein, data linkage is also carried out between N number of imaging sensor, to ensure the multiple defeated of N number of imaging sensor output
Average brightness be consistent and the ensure dynamic range of multiple output images of N number of imaging sensor output for going out image is consistent；
Wherein, positions of the quantity for the imaging sensor that each imaging unit the includes i.e. N based on imaging unit, which is preset, sets
Fixed, imaging unit is closer to the middle position of more mesh cameras, and the numerical value of corresponding N is bigger, and imaging unit more deviates more mesh
The middle position of camera, the numerical value of corresponding N are smaller.
The car arrester control method based on more mesh data acquisitions can also include：
Using threshold value more new equipment, for receiving each wide field-of-view image using the time as order, often receive once wide
Field-of-view image, using the recently received predetermined customization vehicle gray threshold scope of wide field-of-view image update, wherein,
The initial range of customization vehicle gray threshold scope is pre-stored in the internal memory of threshold value more new equipment；
Using Content analysis apparatus, for receiving newest wide field-of-view image, and answering for newest wide field-of-view image is analyzed
Miscellaneous degree, to select corresponding filtering algorithm based on the complexity of newest wide field-of-view image；
It using filter processing apparatus, is connected with Content analysis apparatus, for receiving newest wide field-of-view image and reception
The filtering algorithm of selection, and the filtering algorithm of selection is performed to newest wide field-of-view image, to obtain corresponding filtering image；
Using vehicle contours extract equipment, it is connected with threshold value more new equipment, for each of newest wide field-of-view image
The pixel value of a pixel determines whether to fall in the range of customization vehicle gray threshold in the updated, if falling customization in the updated
Within the scope of vehicle gray threshold, then the pixel is determined as customizing vehicle pixel, if falling customization vehicle ash in the updated
It spends outside threshold range, then the pixel is determined as non-customized vehicle pixel, by all customized vehicles of newest wide field-of-view image
Type pixel forms customized vehicle type subgraph；
It using drive control apparatus, is connected with vehicle contours extract equipment, customizes vehicle subgraph for receiving, and be based on
Customization vehicle subgraph determines the validity of customization vehicle subgraph in the area ratio of newest wide field-of-view image, fixed when determining
When vehicle subgraph processed is effective, control inverted U upright bar is switched to state of couching by erected state.
In the car arrester control method based on more mesh data acquisitions：
Camera mounting hole, boombox, LED display device, GPS positioning device are additionally provided in inverted U upright bar.
In the car arrester control method based on more mesh data acquisitions：
Drive control apparatus determines customized vehicle based on customization vehicle subgraph in the area ratio of newest wide field-of-view image
The validity of type subgraph includes：It is preset when customization vehicle subgraph is more than or equal in the area ratio of newest wide field-of-view image
During proportion threshold value, determine that customization vehicle subgraph is effective, otherwise, it determines customization vehicle subgraph is invalid.
In addition, image filtering, i.e., press down the noise of target image under conditions of image detail feature is retained as far as possible
System, is indispensable operation in image preprocessing, and the quality for the treatment of effect will directly influence subsequent image processing and divide
The validity and reliability of analysis.
Not perfect due to imaging system, transmission medium and recording equipment etc., digital picture is in its formation, transmission log mistake
It is often polluted in journey be subject to a variety of noises.In addition, some links in image procossing when the picture object inputted and are not so good as pre-
Also noise can be introduced when thinking in result images.These noises often show as one and cause the isolated of stronger visual effect on the image
Pixel or block of pixels.Generally, noise signal it is uncorrelated to the object to be studied it occur with useless message form, upset figure
The observable information of picture.For data image signal, psophometer is either large or small extreme value, these extreme values are acted on by plus-minus
On the true gray value of image pixel, the interference of bright, dim spot is caused to image, greatly reduces picture quality, influence image restoration,
The progress of the follow-up work such as segmentation, feature extraction, image identification.A kind of effective wave filter for inhibiting noise is constructed to must take into consideration
Two basic problems：The noise in target and background can effectively be removed；Meanwhile can protect well image object shape,
Size and specific geometry and topological features.
One kind in common image filtering pattern is nonlinear filter, it is, in general, that when signal spectrum and noise frequency
Such as the noise as caused by mission nonlinear or there are non-gaussian to make an uproar when composing aliasing or when containing nonadditivity noise in signal
Sound etc.), traditional linear filter technology, if Fourier converts, while noise is filtered out, always blurred picture is thin in some way
Section (such as edge) and then the extraction property reduction for causing the positioning accuracy and feature as linear character.And nonlinear filter is
Based on a kind of Nonlinear Mapping relation to input signal, often a certain specific noise approx can be mapped as zero and retained
Signal wants feature, thus it can overcome the shortcoming of linear filter to a certain extent.
Car arrester control system and method using the present invention based on more mesh data acquisitions, for holding up traffic in the prior art
The technical issues of device structure is too simple by transforming car arrester structure, receives customization vehicle subgraph, and is based on customization vehicle
Subgraph determines the validity of customization vehicle subgraph in the area ratio of newest wide field-of-view image, when definite customization vehicle
When image is effective, control inverted U upright bar is switched to state of couching by erected state, so as to ensure to customize the orientation of vehicle vehicle
It parks.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any those skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications are all made to technical solution of the present invention using the technology contents of the disclosure above or are revised as
With the equivalent embodiment of variation.Therefore, every content without departing from technical solution of the present invention, technical spirit pair according to the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the scope of technical solution of the present invention protection
It is interior.
Claims (5)
1. a kind of car arrester control system based on more mesh data acquisitions, which is characterized in that the system comprises erect framework and
Pedestal framework, the standing framework include supporting rack, inverted U upright bar and swingle, and swingle is connected with inverted U upright bar, is used for
Control inverted U upright bar is in erected state or state of couching, and supporting rack is used at inverted U upright bar rear, and branch is played to inverted U upright bar
Support acts on, and inverted U upright bar faces ground face forward and fall down with snugly in the handoff procedure by erected state to state of couching
Face facilitates vehicle by the way that the pedestal framework includes left side cement groove body, right side cement groove body and chassis, left side cement groove body
It is all disposed with right side cement groove body in chassis, for, to be reinforced, being set in laid inside cement on the cement groove body of left side
There is the left side limbers of covering woven wire, the right side limbers of covering woven wire is provided on the cement groove body of right side.
2. the car arrester control system as described in claim 1 based on more mesh data acquisitions, which is characterized in that further include：
More mesh cameras, are installed in camera mounting hole, and including multiple imaging units, each imaging unit is used for it
Scene in areas imaging carries out real time imagery operation, each imaging unit includes Analysis signal-to-noise ratio (SNR) device, quality comparator and N
A imaging sensor, Analysis signal-to-noise ratio (SNR) device are connected respectively with N number of imaging sensor, for the image to N number of imaging sensor
As carrying out Analysis signal-to-noise ratio (SNR), quality comparator is connected with Analysis signal-to-noise ratio (SNR) device, for receiving the image of N number of imaging sensor
Signal-to-noise ratio, and select output image of the highest image of signal-to-noise ratio as corresponding imaging unit；
Region merging technique equipment is connected with more mesh cameras, for receiving multiple output images of multiple imaging units, and is detected more
With the presence or absence of overlapping between a output image, and when there is overlapping, multiple output images are merged by Duplicate Removal Algorithm
To obtain the wide field-of-view image after duplicate removal；
Wherein, data linkage is also carried out between N number of imaging sensor, to ensure multiple output figures of N number of imaging sensor output
The average brightness of picture be consistent and the ensure dynamic range of multiple output images of N number of imaging sensor output is consistent；
Wherein, position default settings of the quantity for the imaging sensor that each imaging unit the includes i.e. N based on imaging unit, into
As unit is closer to the middle position of more mesh cameras, the numerical value of corresponding N is bigger, and imaging unit more deviates more mesh cameras
Middle position, the numerical value of corresponding N is smaller.
3. the car arrester control system as claimed in claim 2 based on more mesh data acquisitions, which is characterized in that further include：
Threshold value more new equipment for receiving each wide field-of-view image using the time as order, often receives a wide field-of-view image,
Using the recently received predetermined customization vehicle gray threshold scope of wide field-of-view image update, wherein, customize vehicle
The initial range of gray threshold scope is pre-stored in the internal memory of threshold value more new equipment；
Content analysis apparatus for receiving newest wide field-of-view image, and analyzes the complexity of newest wide field-of-view image, with base
Corresponding filtering algorithm is selected in the complexity of newest wide field-of-view image；
Filter processing apparatus is connected with Content analysis apparatus, for receiving newest wide field-of-view image and receiving the filter of selection
Ripple algorithm, and the filtering algorithm of selection is performed to newest wide field-of-view image, to obtain corresponding filtering image；
Vehicle contours extract equipment is connected with threshold value more new equipment, for each pixel to newest wide field-of-view image
Pixel value determines whether to fall in the range of customization vehicle gray threshold in the updated, if falling customization vehicle gray scale in the updated
Within threshold range, then the pixel is determined as customizing vehicle pixel, if falling customization vehicle gray threshold model in the updated
Outside enclosing, then the pixel is determined as non-customized vehicle pixel, by all customization vehicle pixel groups of newest wide field-of-view image
Into customization vehicle subgraph；
Drive control apparatus is connected with vehicle contours extract equipment, and vehicle subgraph is customized for receiving, and based on customization vehicle
Subgraph determines the validity of customization vehicle subgraph in the area ratio of newest wide field-of-view image, when definite customization vehicle
When image is effective, control inverted U upright bar is switched to state of couching by erected state.
4. the car arrester control system as claimed in claim 3 based on more mesh data acquisitions, it is characterised in that：
Camera mounting hole, boombox, LED display device, GPS positioning device are additionally provided in inverted U upright bar.
5. the car arrester control system as claimed in claim 4 based on more mesh data acquisitions, it is characterised in that：
Drive control apparatus determines customization vehicle based on customization vehicle subgraph in the area ratio of newest wide field-of-view image
The validity of image includes：When customization vehicle subgraph is more than or equal to preset ratio in the area ratio of newest wide field-of-view image
During threshold value, determine that customization vehicle subgraph is effective, otherwise, it determines customization vehicle subgraph is invalid.
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| CN201711366079.XA CN108103999B (en) | 2017-09-15 | 2017-09-15 | Based on more mesh numbers according to the car arrester control system of acquisition |
| CN201710831250.3A CN107587455B (en) | 2017-09-15 | 2017-09-15 | Based on more mesh numbers according to the car arrester control method of acquisition |
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| CN109730870A (en) * | 2019-01-08 | 2019-05-10 | 乔保华 | Medical instrument signal resolution platform |
| CN111245884B (en) * | 2019-03-21 | 2020-12-01 | 青田县武莲科技有限公司 | Multifunctional network control method |
| CN110381287A (en) * | 2019-03-21 | 2019-10-25 | 泰州市朗嘉尚网络科技有限公司 | Multifunctional network control platform |
| CN112906422A (en) * | 2019-11-15 | 2021-06-04 | 孙兴珍 | Real-time status data identification system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| EP1359256A2 (en) * | 2002-04-29 | 2003-11-05 | Sensenwerk Sonnleithner GesmbH & Co.KG | Device for shutting off a parking space for a car |
| CN204357179U (en) * | 2014-12-13 | 2015-05-27 | 唐海航 | A kind of intelligent space lock |
| CN204627092U (en) * | 2015-05-15 | 2015-09-09 | 杭州汇萃智能科技有限公司 | A kind of electric vehicle position lock controlled based on WIFI |
| CN205822059U (en) * | 2016-07-22 | 2016-12-21 | 乐山师范学院 | Intelligent space lock based on Car license recognition |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| FR2768163B1 (en) * | 1997-09-10 | 1999-12-31 | Habitat Sympa L | BARRIER FOR PERSONAL PARKING SPOT |
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- 2017-09-15 CN CN201711366079.XA patent/CN108103999B/en active Active
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1359256A2 (en) * | 2002-04-29 | 2003-11-05 | Sensenwerk Sonnleithner GesmbH & Co.KG | Device for shutting off a parking space for a car |
| CN204357179U (en) * | 2014-12-13 | 2015-05-27 | 唐海航 | A kind of intelligent space lock |
| CN204627092U (en) * | 2015-05-15 | 2015-09-09 | 杭州汇萃智能科技有限公司 | A kind of electric vehicle position lock controlled based on WIFI |
| CN205822059U (en) * | 2016-07-22 | 2016-12-21 | 乐山师范学院 | Intelligent space lock based on Car license recognition |
Also Published As
| Publication number | Publication date |
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| CN107587455A (en) | 2018-01-16 |
| CN107587455B (en) | 2018-10-19 |
| CN108103999B (en) | 2018-08-24 |
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